Genetic Algorithm Based Structure Identification for Feedback Control of Nonlinear MIMO Systems

被引：0
|
作者：
Vassiljeva, Kristina [1 ]
Belikov, Juri [2 ]
Petlenkov, Eduard [1 ]
机构：
[1] Tallinn Univ Technol, Dept Comp Control, Ehitajate Tee 5, EE-19086 Tallinn, Estonia
[2] Tallinn Univ Technol, Inst Cybernet, EE-12618 Tallinn, Estonia
来源：
ADAPTIVE AND INTELLIGENT SYSTEMS | 2011年 / 6943卷
关键词：
genetic algorithms; neural networks; nonlinear control; MIMO systems; NEURAL-NETWORK;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Choice of the architecture of the neural network makes it possible to find its optimal structure for the control of nonlinear multi-input multi-output (MEMO) systems using the linearization feedback. Genetic algorithm is proposed as the optimization method for finding the appropriate structure. The controller is based on the parameters of the obtained neural network. The error based criterion is applied as evaluation function for model identification procedure.
引用
收藏
页码：215 / +
页数：3
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